Welcome to the Digital Frontier

Introduction and Data Preparation - Exploratory Data Analysis - Dimensionality Reduction - Clustering Techniques - Playlist Generation - Conclusion

Out[6]:
Index(['artist_name', 'artist_uri', 'track_name', 'album_uri', 'duration_ms',
       'album_name', 'count', 'track_uri', 'danceability', 'energy', 'key',
       'loudness', 'mode', 'speechiness', 'acousticness', 'instrumentalness',
       'liveness', 'valence', 'tempo', 'time_signature', 'artist_genres',
       'artist_popularity', 'album_genres', 'album_popularity',
       'album_release_date'],
      dtype='object')

Histograms

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Pairwise associations

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How are song features associated with playlist inclusion?

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song_id
0         1993
159583    1993
271702    1993
445190    1993
626275    1993
Name: release_year, dtype: object
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999950 100
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Out[58]:
[]                                                                            175993
['sleep']                                                                       3401
['gospel']                                                                      2128
['classical', 'classical era', 'early romantic era']                            2014
['contemporary country', 'country', 'country road', 'modern country rock']      1954
['classical', 'classical era']                                                  1920
['ccm', 'christian alternative rock', 'christian music', 'worship']             1847
['baroque', 'classical', 'early music', 'german baroque']                       1766
['soundtrack']                                                                  1765
['banda', 'grupera', 'norteno', 'regional mexican']                             1727
Name: artist_genres, dtype: int64
Largest playlist 341
Smallest playlist:  3